276,261
Followers
555
Following
888
Tweets
369.9
Avg Engagement
812
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AndyTCarroll's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2011-05-16
- Verification:No
- Location:Amiens, France
Data Summary
- Tweets Analyzed:856
- Avg Likes per Tweet:216.8
- Avg Retweets per Tweet:153.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 856 tweetsThe account shows high engagement with its tweets, indicating a loyal and active audience. The average likes and retweets suggest the content resonates well with followers.
216.8
Avg Likes/Tweet
153.1
Avg Retweets/Tweet
185,557
Total Likes
131,042
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
22
Median Retweets
239
75th Percentile
33,061
Top Tweet
1.34
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
54.7%
Original
19.7%
Replies
23.9%
Retweets
1.6%
Quotes
0.0%
Threads
1.4%
With Media
57.6%
With Links
33.6%
With #Tags
61.6%
With @Mentions
34.3%
With Emojis
84
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.0%
Weekday Posts
32.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 856 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 205 retweets (24% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 856 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe audience appears to be interested in football, particularly focusing on teams and players. The content is likely aimed at sports fans and followers of specific clubs.
Average
Audience Quality
23.7%
Suspicion Index
31.1%
Low-Quality %
53
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.0%
Empty Bio
24.2%
<10 Tweets
12.7%
Mass Following (>2K)
0.0%
New (<90 days)
46.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
16.3%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
62,428,735
Total Potential Reach
53
Median Follower Reach
195
75th Percentile Reach
4.7%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.1%
Creators
28,042 accounts
19.7%
Consumers
9,869 accounts
24.2%
Dormant
12,089 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
149
Verified Followers
0.15% of total
11,191
Protected Accounts
11.19% of total
9 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @Louis_Tomlinson | 35,693,776 | Singer | Music, Fans, Gratitude |
| @JohnCena | 14,102,345 | Wrestler | Wrestling, Motivation, Self-promotion |
| @lequipe | 6,542,044 | Sports News | sports, real-time news, social media |
| @jackwhitehall | 6,057,641 | Actor/Comedian | Comedy, Acting, Entertainment |
| @themichaelowen | 3,789,040 | Footballer | football, sports, pundit |
| @NUFC | 2,519,125 | Football Club | Football, Soccer, Newcastle |
| @talkSPORT | 2,195,447 | Sports broadcaster | Sports, Radio, Station |
| @RealTouchingPic | 2,174,157 | Photographer | Photography, Storytelling, Animals |
| @sportbible | 2,084,696 | Sports Media | Sport, Lifestyle, Entertainment |
| @6BillionPeople | 2,035,269 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,529
Followers With Bio
52,471
Followers Without Bio
47.53%
% With Bio
52.47%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 856 analyzed78,212
Combined Engagement
44,106
Total Likes
34,106
Total Retweets
15,642
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
I’m Coming Home!! https://t.co/aEwYeDO9ti
Over the moon to be back as you can see!! #Package http://t.co/KXR0sBwIlu
We were unlucky not to get something today against this seasons champions 🏆
RT @Pschmeichel1: Is that ref on drugs
Ritchie To Bournemouth?? Don’t Think So!! We Bring Bournemouth To Ritchie 🤣 @callumwilson @ryanfraser94 @ Branches Restaurant https://t.co/T81FzsTH7e
Key Insights & Takeaways
The user frequently engages with football-related topics and players. The content often includes personal opinions and reactions to sports events. The user may be a fan of specific teams or players, as seen in the top tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 276,261
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @AndyTCarroll reveals an well-established Twitter presence with 276,261 followers. The account demonstrates a content-creator strategy, averaging 369.9 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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